Dynamic Metadata Filtering for Non-Real-Time Content
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Solution Overview
Problem
Current content distribution systems are limited by standardized metadata sets, preventing providers from targeting specific viewer interests, such as job-hunting trends, which are not included in these sets, thereby failing to deliver content that meets current viewer needs.
Innovation Solution
A transmission and reception system that generates and transmits question information to clients, allowing providers to set answer information as metadata, enabling matching of user-side answers with provider-side answers to filter and deliver content that meets viewer interests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If standardized metadata sets are used for content filtering, then system compatibility and ease of operation are improved, but adaptability to specific viewer interests and current trends deteriorates
Solution Approach 1:
The patent segments metadata into standardized elements (for system compatibility) and custom filterable attributes (for specific viewer interests). The server separates common metadata from provider-specific filtering attributes, allowing clients to use both standardized and customized filtering without conflict.
Solution Approach 2:
The patent introduces dynamic filtering capabilities where the client can adaptively select and apply filtering attributes based on user preferences and current needs. The filtering system transitions from static standardized metadata to dynamic, user-configurable filterable attributes that can respond to changing viewer interests.
2Adaptability or versatility
If custom filtering attributes are added to meet current viewer needs, then adaptability and content relevance are improved, but device complexity and difficulty of implementation increase
Solution Approach 1:
The patent introduces a server as an intermediary that manages the complexity of custom filtering attributes. The server generates and maintains filterable attributes, handles the matching logic between content and user preferences, and communicates results to clients. This mediator approach centralizes complexity management while keeping client devices relatively simple.
Solution Approach 2:
The patent changes the parameter representation from fixed standardized metadata to flexible filterable attributes with customizable parameters. Provider-side answer information is transformed into structured filterable attributes that can be dynamically applied, allowing content distribution to adapt to changing parameters without requiring complex client-side processing.
3Ease of manufacture
If standardized metadata sets are used, then ease of manufacture and system compatibility are improved, but loss of information regarding specific viewer interests increases
Solution Approach 1:
The patent segments metadata into standardized elements (for system compatibility) and custom filterable attributes (for specific viewer interests). The server separates common metadata from provider-specific filtering attributes, allowing clients to use both standardized and customized filtering without conflict.
Solution Approach 2:
The patent adds another dimension to metadata by introducing filterable attributes that extend beyond the standardized metadata set. This additional dimension preserves viewer interest information without disrupting the existing standardized metadata structure, allowing both to coexist and function together.
Data Source
AI summary
A content reception apparatus, for receiving non-real-time (NRT) content, includes circuitry that receives a digital television broadcast signal including a digital television program, the NRT content, and filtering criteria related to the NRT content and outputs the digital television program for display to a user. The circuitry receives question information relating to a preference, demographic, or interest of the user and generates user answer information based on the question information received. Further, the circuitry compares the user answer information and the filtering criteria, and filters the NRT content based on the comparison.